UNITED STATES — The Becker’s Health IT report indicates that healthcare leaders are shifting away from AI experimentation toward a more disciplined approach to using Artificial Intelligence (AI).
Many health system leaders have expressed that AI has gone beyond novelty; it has now become core infrastructure that not only reduces administrative burden but also advances care quality and safety.
Healthcare leaders are focused on maximizing AI to make their service delivery smarter and more patient-focused.
Ultimately, our vision is a future where operational enhancements fuel growth, and growth accelerates our ability to deliver care that is not only efficient but profoundly centered on each patient’s journey.
— Dr. Rohit Chandra, PhD, Cleveland Clinic, Chief Digital Officer
The belief is that health systems will be more effective once their workforce is comfortable with automation and AI. Hence, scaling AI adoption is only critical to ensure organizations better manage their operations and thinning resources.
Efficiency, Not Volume: The Key to Effective AI Adoption
According to Niel Roy, Adventist Healthcare’s Vice President of Diagnostic and Operative Services, operational complexities, paired with financial constraints, push health systems toward more selective AI adoption.
Simply because the tool can automate operations and speed things up doesn’t mean hospitals should focus on doing more, especially if budgets are considered.
To Dr. Roy, this system supports a more disciplined growth that allows them to stay stable while still moving forward.
Our focus is on rationalizing our applications and prioritizing core platforms that can deliver multiple capabilities rather than continuing to add complexity. With the growing attention and investment in AI, this discipline is even more important to ensure our technology decisions remain financially responsible and operationally sound.
— Chad Konchak, Endeavor Health, System Assistant Vice President of Data Analytics
